Maja Štula

62 total papers · 443 total citations
39 papers, 266 citations indexed

About

Maja Štula is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Maja Štula has authored 39 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 13 papers in Information Systems and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Maja Štula's work include Multi-Agent Systems and Negotiation (8 papers), Semantic Web and Ontologies (5 papers) and Cognitive Science and Mapping (5 papers). Maja Štula is often cited by papers focused on Multi-Agent Systems and Negotiation (8 papers), Semantic Web and Ontologies (5 papers) and Cognitive Science and Mapping (5 papers). Maja Štula collaborates with scholars based in Croatia, Sweden and Bosnia and Herzegovina. Maja Štula's co-authors include Darko Stipaničev, Ljiljana Šerić, Damir Krstinić, Ivica Crnković, Jan Carlson, Saša Mladenović and Slavomir Stankov and has published in prestigious journals such as IEEE Transactions on Software Engineering, Neurocomputing and Information Fusion.

In The Last Decade

Maja Štula

35 papers receiving 251 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Maja Štula 97 74 71 50 47 39 266
Sergio Álvarez-Napagao 59 0.6× 94 1.3× 14 0.2× 24 0.5× 38 0.8× 34 293
Shabana Ramzan 84 0.9× 34 0.5× 51 0.7× 50 1.0× 92 2.0× 22 306
R. Krishnamoorthy 44 0.5× 71 1.0× 17 0.2× 31 0.6× 61 1.3× 46 287
Shariq Bashir 132 1.4× 69 0.9× 28 0.4× 32 0.6× 120 2.6× 35 330
Abdullah Kurkcu 37 0.4× 29 0.4× 78 1.1× 17 0.3× 16 0.3× 26 303
Chetan Dhule 61 0.6× 72 1.0× 11 0.2× 24 0.5× 50 1.1× 54 307
Thomas Holzer 43 0.4× 19 0.3× 30 0.4× 53 1.1× 72 1.5× 38 296
Ziqiang Li 92 0.9× 99 1.3× 11 0.2× 40 0.8× 43 0.9× 29 238
Ashu M. G. Solo 76 0.8× 22 0.3× 26 0.4× 33 0.7× 49 1.0× 36 271
Santosh Kumar 56 0.6× 26 0.4× 68 1.0× 61 1.2× 75 1.6× 43 289

Countries citing papers authored by Maja Štula

Since Specialization
Citations

This map shows the geographic impact of Maja Štula's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Maja Štula with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maja Štula more than expected).

Fields of papers citing papers by Maja Štula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maja Štula. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Maja Štula. The network helps show where Maja Štula may publish in the future.

Co-authorship network of co-authors of Maja Štula

This figure shows the co-authorship network connecting the top 25 collaborators of Maja Štula. A scholar is included among the top collaborators of Maja Štula based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maja Štula. Maja Štula is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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